layer

A set of neurons in a neural network. Three common types of layers are as follows: - The input layer, which provides values for all the features. - One or more hidden layers, which find nonlinear relationships between the features and the label. - The output layer, which provides the prediction. For example, the following illustration shows a neural network with one input layer, two hidden layers, and one output layer: In TensorFlow, layers are also Python functions that take Tensors and configuration options as input and produce other tensors as output.

Practitioners refer to layer when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.